Scope & Topics

Signal & Image Processing : An International Journal is an Open Access peer-reviewed journal intended for researchers from academia and industry, who are active in the multidisciplinary field of signal & image processing. The scope of the journal covers all theoretical and practical aspects of the Digital Signal Processing & Image processing, from basic research to development of application.

Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of Signal & Image processing.

Topics of interest include but are not limited to, the following

  • Signal, image, video, audio, and multimodal processing algorithms
  • Deep learning methods for signal, image, and video analysis
  • Foundation models for visual, audio, and multimodal signals
  • Self supervised, weakly supervised, and unsupervised learning for signal and image data
  • Generative models for images, video, audio, and multimodal signals (GANs, diffusion, autoregressive models)
  • Efficient and lightweight models for on device signal and image processing
  • Federated, distributed, and continual learning applied to signal and image data
  • Robust, interpretable, and trustworthy AI for signal, image, and audio processing
  • Image understanding, recognition, detection, and segmentation
  • 3D vision, depth estimation, and scene reconstruction from visual signals
  • Vision–language models and multimodal reasoning involving image, video, or audio inputs
  • Medical and biomedical image processing and analysis
  • Remote sensing and satellite image processing
  • Hyperspectral, multispectral, and low light imaging techniques
  • Image enhancement, restoration, denoising, and super resolution
  • Computational imaging and computational photography
  • Video analysis, action recognition, and event understanding
  • Video generation, editing, compression, and quality assessment
  • Speech and audio signal processing (recognition, synthesis, enhancement)
  • Speaker identification, diarization, and verification
  • Acoustic scene analysis, spatial audio, and beamforming
  • Music signal processing and audio generation
  • Signal processing for AR/VR/XR and immersive environments
  • Communication signal processing for wireless, mobile, and sensor systems
  • Radar, sonar, lidar, and other active sensing signal processing
  • Localization, tracking, and multi sensor fusion using signal level methods
  • Biomedical and physiological signal processing (EEG, ECG, EMG, BCI)
  • Wearable and mobile health signal analytics
  • Environmental, geophysical, and scientific signal processing
  • Security and privacy techniques for signal, image, and audio data
  • Adversarial attacks and defenses targeting signal, image, video, or audio models
  • Media forensics, deepfake detection, and content authenticity analysis
  • Watermarking, steganography, and signal based content protection
  • Sparse representations, compressed sensing, and optimization for signal and image processing
  • Graph signal processing and geometric deep learning
  • Statistical and probabilistic methods for signal and image analysis
  • Hardware acceleration and real time systems for signal, image, and audio processing
  • Neuromorphic computing for signal and image applications
  • Edge, cloud, and distributed processing specifically for signal, image, video, or audio workloads
  • Applications of signal and image processing in robotics, autonomous systems, intelligent transportation, and smart environments
  • Industrial inspection and manufacturing quality control using signal or image analysis
  • Cultural heritage preservation using signal and image processing techniques

Important Dates

  • Submission Deadline : January 31, 2026
  • Notification                   : February 20, 2026
  • Final Manuscript Due : February 26, 2026
  • Publication Date          : Determined by the Editor-in-Chief
Call for Papers

H-Index


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